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Original Article
- GI Genius increases small and right-sided adenoma and sessile serrated lesion detection rate when used with EndoCuff in a real-world setting: a retrospective United States study
- Jeong Hoon Kim, Jade Wang, Colton Pence, Patrick Magahis, Enad Dawod, Felice Schnoll-Sussman, Reem Z. Sharaiha, David Wan
- Clin Endosc 2025;58(3):438-447. Published online April 22, 2025
- DOI: https://doi.org/10.5946/ce.2024.271
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Graphical Abstract
Abstract
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ePub - Background
/Aims: The real-world efficacy of computer-aided detection (CADe) systems, such as GI Genius (Medtronic), is unclear. We examined the colonoscopy metrics using CADe alone and with a mucosal exposure device (EndoCuff; Olympus) in a real-world setting.
Methods
We retrospectively reviewed screening and surveillance colonoscopies before, during, and after CADe use in a large tertiary care center. Outcomes included the adenomas per colonoscopy (APC), sessile serrated lesions per colonoscopy, adenoma detection rate (ADR), sessile serrated lesion detection rate (SSLDR), advanced ADR, total polyp detection rate, and true histology rate. The ADR and SSLDR were further examined according to size, colon location, and EndoCuff use.
Results
A total of 798 colonoscopies were performed, including 386 pre-CADe, 178 CADe, and 234 post-CADe. In cases where CADe was used with the EndoCuff, the 1 to 5 mm ADR increased from 36.3% (pre-CADe) to 52.1% (CADe) (p=0.01). The 1 to 5 mm SSLDR increased from 9.6% (pre-CADe) to 17.1% (CADe) (p=0.02). The right-sided ADR increased from 30.8% (pre-CADe) to 42.7% (CADe) (p=0.03). The right-sided SSLDR increased from 12.3% (pre-CADe) to 24.8% (CADe) (p<0.001). No significant changes were observed when only CADe was used. No differences were found in other outcome measures. Post-CADe metrics returned to pre-CADe levels.
Conclusions
GI Genius is useful for identifying small and right-sided polyps only when used with the EndoCuff. -
Citations
Citations to this article as recorded by
- Comparison of colon adenoma detection rate using cap-assisted and artificial intelligence-assisted colonoscopy at a tertiary hospital in the Philippines: a propensity score-matched analysis
Justin Ryan Lay Tan, Keith Brian Tan Enriquez, Kenneth Vergel Tecson Aballe, Mary Anne Gonzales Go, Michael Louie Ong Lim, Jonard Tan Co
Clinical Endoscopy.2026; 59(1): 106. CrossRef - Where technology meets technique: computer-aided detection and mucosal exposure device to improve adenoma detection
James Weiquan Li
Clinical Endoscopy.2025; 58(3): 404. CrossRef - Use of Mechanical Enhanced Colonoscopy to Improve Polyp Detection During Colorectal Cancer Screening: A Real-World Healthcare Database Analysis
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Journal of Clinical Medicine.2025; 14(17): 6346. CrossRef - Effectiveness of the GI Genius Computer-Aided Detection System Versus Standard Colonoscopy: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Aliya Sattar, Arifa Sattar, Muhammad Haris Khan, Maheen Zahid, Simahir Tariq, Neha Choudhary, Muneeba Shaukat, Shermeen Usman, Shakeeba Zubair, Yeman Ahmed, Sarah Aijaz
Cureus.2025;[Epub] CrossRef
- Comparison of colon adenoma detection rate using cap-assisted and artificial intelligence-assisted colonoscopy at a tertiary hospital in the Philippines: a propensity score-matched analysis
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